The SEO Roger Blog
Rank higher. Get cited by AI.
Practical SEO and AI-search tactics from the people building SEO Roger — technical audits, content strategy, and how to win in the age of answer engines.
Showing results for “content”
A Repeatable Keyword Research Workflow That Actually Ships Content
Most keyword research dies in a spreadsheet. Here is a five-stage workflow that turns raw search data into a publishing calendar your team can execute this quarter.
Search Intent and Content Mapping: Matching Pages to What Users Want
Ranking is less about keywords and more about intent. Learn how to classify search intent and map every keyword to the right page type and funnel stage.
What Is an llms.txt File and Why It Matters for AI Search
llms.txt is a simple standard for guiding AI models to your most important content. Here's what it is, what goes in it, and how to publish one.
Updating Old Content: How to Recover and Grow Traffic
Your archive is a goldmine. Learn how to find decaying pages, decide whether to refresh, consolidate, or retire them, and reclaim rankings faster than writing from scratch.
Canonicalization and Duplicate Content, Solved for Good
Duplicate content splits your ranking signals. Canonical tags, when used correctly, consolidate them. Here's the complete playbook.
JavaScript SEO: How Rendering Decides Whether You Get Indexed
If your content only appears after JavaScript runs, indexing gets slower and riskier. Here's how rendering works and how to de-risk it.
Structuring Content So LLMs Quote It Verbatim
There's a craft to writing passages that survive AI summarization intact. These formatting patterns make your sentences the ones that get quoted.
FAQ and Schema Markup for Answer Engines: Still Worth It?
Structured FAQ content and schema markup shape how answer engines read your pages. Here's what still works in 2026 and what to skip.